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Output tracking control for an omnidirectional rehabilitative training walker with incomplete measurements and random parameters

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  • Hongbin Chang
  • Ping Sun
  • Shuoyu Wang

Abstract

In this study, we propose a model and an output feedback tracking control for an omnidirectional rehabilitative training walker (ODW) with unmeasurable speed, incomplete measurements of position output, and random structural parameters. A stochastic model and an incomplete measurement model were proposed to describe the motion of an ODW subject to random structural parameters and to account for any incomplete data transmission phenomenon caused by possible sensor ageing or failures. A speed observer and a state observer were designed to estimate the unmeasurable speed and the incomplete measurements of position output. Moreover, a dynamic output feedback controller was constructed to ensure the exponential stability in mean square of the tracking error system. Furthermore, the results verify that the choice of appropriate design parameters can result in the mean square of the tracking error becoming arbitrarily small. A simulation example was provided to illustrate the effectiveness of the proposed design procedures.

Suggested Citation

  • Hongbin Chang & Ping Sun & Shuoyu Wang, 2017. "Output tracking control for an omnidirectional rehabilitative training walker with incomplete measurements and random parameters," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(12), pages 2509-2521, September.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:12:p:2509-2521
    DOI: 10.1080/00207721.2017.1324064
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    Cited by:

    1. Sun, Ping & Shan, Rui & Wang, Shuoyu, 2022. "Safety-triggered stochastic tracking control for a cushion robot by constraining velocity considering the estimated internal disturbance," Applied Mathematics and Computation, Elsevier, vol. 416(C).

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